Life is after all a recursive summation, indeed
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Let's do some Statistics!

 

The objective of this course is to provide graduate-level students (1) an overview of various experimental designs and problem conceptualization methods used in research and in the real-world environment (i.e., "See the Forest not just Trees" -- it's all about the SYSTEM!!), and (2) proper and practical statistical methods applicable to multidisciplinary engineering problems with an environmental engineering stress.

Fundamental and general concepts on system characterization adn statistics will be reviewed in the beginning part of the semester, then progresses rapidly into various statistical methods applicable to research/project activities such as experiment/sample design strategies, test of hypotheses, and the analysis aspect including regression and correlation, analysis of variance, nonparametric statistics, and probability distributions -- to consummate "Why would/should I" prior- and "What am I going to do with" posterior-conditions.

Emphasis will be equally on concepts and applications. Statistical Analysis Systems (SAS) software available in ODU HPC (High Performance Computing) cluster, VCL (Virtual Computer Lab) and MoVE (Monarch Virtual Environment) platforms will be heavily used for homework assignments and for the class project. 
 



 














        





	
	  


	

	
                
                
                        
			

                        Syllabus
			

	
                
                        
			

                        Course Timeline
			

	
                
                        
			

                        Assignments
			


	
                
                        
			

                        Supplementary
			

	
                
                        
			

                        Intro to SAS
			

	
                
                        
			

                        SAS Sources
			




	
                
                        
			

                        Class Project
Guideline
			

	
                
                        
			

                        Introduction to
Unix
			

	
                
                        
			

                        Remote Access
Guide to Turing HPC Server